Xu Cheng
21 papers · 2020–2026 · 9 conferences · across top CS/AI conferences
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Conferences
AAAI (7)
CVPR (4)
ICCV (3)
NIPS (2)
ACL (1)
ECCV (1)
ICML (1)
IJCAI (1)
NAACL (1)
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Keywords
deep neural network
(5)
model compression
(3)
radar sensing
(2)
knowledge distillation
(2)
visible-infrared person re-identification
(2)
person re-identification
(2)
modality alignment
(2)
neural network
(2)
semantic segmentation
(1)
domain adaptation
(1)
learning theory
(1)
game theory
(1)
feature extraction
(1)
natural language processing
(1)
transfer learning
(1)
feature learning
(1)
unsupervised learning
(1)
deep learning theory
(1)
cross-modal learning
(1)
image captioning
(1)
Papers
Radar-APLANC: Unsupervised Radar-based Heartbeat Sensing via Augmented Pseudo-Label and Noise Contrast
AAAI 2026
G-Cap: A Game Character Caption Generator
ACL 2026
Beyond Missing Data Imputation: Information-Theoretic Coupling of Missingness and Class Imbalance for Optimal Irregular Time Series Classification
AAAI 2026
SCSegamba: Lightweight Structure-Aware Vision Mamba for Crack Segmentation in Structures
CVPR 2025
FreeNet: Liberating Depth-Wise Separable Operations for Building Faster Mobile Vision Architectures
AAAI 2025
Can Students Beyond the Teacher? Distilling Knowledge from Teacherβs Bias
AAAI 2025
From Laboratory to Real World: A New Benchmark Towards Privacy-Preserved Visible-Infrared Person Re-Identification
CVPR 2025
FusionPhys: A Flexible Framework for Fusing Complementary Sensing Modalities in Remote Physiological Measurement
ICCV 2025
A Unified Interpretation of Training-Time Out-of-Distribution Detection
ICCV 2025
RankAdaptor: Hierarchical Rank Allocation for Efficient Fine-Tuning Pruned LLMs via Performance Model
NAACL 2025
Layerwise Change of Knowledge in Neural Networks
ICML 2024
Clarifying the Behavior and the Difficulty of Adversarial Training
AAAI 2024
Domain Shifting: A Generalized Solution for Heterogeneous Cross-Modality Person Re-Identification
ECCV 2024
Differentiable Auxiliary Learning for Sketch Re-Identification
AAAI 2024
Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities
NIPS 2023
Modality Unifying Network for Visible-Infrared Person Re-Identification
ICCV 2023
TOPLight: Lightweight Neural Networks With Task-Oriented Pretraining for Visible-Infrared Recognition
CVPR 2023
Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining
IJCAI 2021
Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness
NIPS 2021
Building Interpretable Interaction Trees for Deep NLP Models
AAAI 2021
Explaining Knowledge Distillation by Quantifying the Knowledge
CVPR 2020